As Nvidia marks two decades of CUDA, its head of high-performance computing and hyperscale reflects on the platform’s journey ...

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash your cloud bill and carbon footprint.

This article is based on findings from a kernel-level GPU trace investigation performed on a real PyTorch issue (#154318) using eBPF uprobes. Trace databases are published in the Ingero open-source ...

NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help ...